zhama

zhama

Machine Learning Research Engineer in Computer Vision and Computer Graphics-Wētā Tools at Unity

Curriculum Vitae

Personal Data

Education

  • 2022 (expected): M.S. in Statistics/BioStatistics, Columbia University
    • Master Thesis: Coming soon!
  • 2014 - 2018: B.A. in Software Engineering, American University of Central Asia, 2018 (GPA: 3.6/4.0)
    • Diploma Thesis: Logo Detection using TensorFlow Lite and Transfer Learning - A brand logo detection system using Tensorflow Object Detection API. The application that can improve brand analytics through logo detection in images. The core of my solution leverages a Deep Convolutional Neural Network developed and trained using Google’s Deep Learning library, TensorFlow. The performance of the proposed method is evaluated over the NCC and PSNR metrics. **Supervisor: Director, Laboratory for Algebraic and Symbolic Computation, Bard College and Associate Professor of Computer Science and Mathematics - Robert W. McGrail

Work experience

Year(s)TitleCompany/OrganizationDutiesLocations
2023.Research EngineerUnity- Wētā Toolsresearch and developmentDublin, Ireland
2021-2022Software Engineer in MLUnityresearch and developmentDublin, Ireland
2019 - 2020Data&Machine Learning EngineerR&Dtraining deep networks for image retrievalBerlin, Germany
2018 - 2019Data/Software EngineerAlem Research,core teamcleaning data, training and deploying modelAlmaty, Qazaqstan
2018Software Engineer,InternshipLinkedIn, AI experimental teamtraining the SOTA face recognition modelsMountain View, USA
2017-2018Machine Learning, InternshipARLOOPA, ml/cv teamcleaning and preparing dataOslo, Norway
2017Software Engineer, InternshipZensoft, backend teamsemantic analysis API for HR platformBishkek, Kyrgyzstan
2016 - 2016Android Engineer,InternshipYandex, andoid teamdeveloping apps for mapping internal CRMsSaint Petersburg, RF

Skills

Machine LearningSoftwareLanguages
OpenCVDokerKyrgyz: native speaker
scikit-learnJavaQazaq: native speaker
PyTorchAWSTurkish: native speaker
KerasPythonEnglish: advanced
TensorFlowMATLABRussian: native speaker
object detectionApacheFrench: intermediate
metric learningCassandraChinese: beginner
semi-supervised learningKubernetes 
facial recognitionNode JS 
pandasRedis 
MatLabKafka 
spaCyHadoop 

Certificates

  • Machine Learning by Stanford University on Coursera (grade: 97%)
  • NLP with Classification and Vector Spaces on Coursera (grade: 91%)
  • How to Win a Data Science Competition: Learn from Top Kagglers on Coursera (grade: 95%)
  • Advanced Machine Learning with TensorFlow on Google Cloud Platform on Coursera (grade: 89%)
  • TensorFlow: Data and Deployment on Coursera (grade: 100%)
  • Reinforcement Learning on Coursera (grade: 90%)
  • Game Theory II: Advanced Applications on Coursera (grade: 100%)
  • Big Data, Genes, and Medicine on Coursera (grade: 85%)
  • Biostatistics in Public Health by Johns Hopkins University on Coursera (grade: 92%)
  • Robotic Drives & Physics: Robotics, learn by building III on Udemy
  • Negotiation Mastery by Harvard University (grade: 99%)

Awards

Year(s)AwardOrganizerCity & Country
2020Facebook AI ResidencyFacebookLondon, UK
2020Uber AI Lab ResidencyUberSan-Francisco, USA
2018TechWomen FellowshipU.S. Department of State’s Bureau of Education and Cultural AffairsSan-Francisco, USA
2017DataFest - Special GuestDataFestTbilisi, Georgia
2017Media Hackathon, The Grand PrixMedia Agencies, CABishkek, Kyrgyzstan
20151st Place in Chess CompetitionAUCABishkek, Kyrgyzstan
2014- 2018Full Tuition ScholarshipAUCABishkek, Kyrgyzstan
20121st Place in Chess CompetitionChess Federation KyrgyzstanKarakol, Kyrgyzstan
20112nd Place in Chess CompetitionChess Federation KyrgyzstanKarakol, Kyrgyzstan

Talks

Blog Posts

Service and leadership

  • Currently signed in to 91 different slack teams